Jeffrey L. McKinstry

2.6k total citations · 2 hit papers
17 papers, 1.2k citations indexed

About

Jeffrey L. McKinstry is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jeffrey L. McKinstry has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jeffrey L. McKinstry's work include Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (6 papers) and Visual perception and processing mechanisms (5 papers). Jeffrey L. McKinstry is often cited by papers focused on Neural dynamics and brain function (11 papers), Advanced Memory and Neural Computing (6 papers) and Visual perception and processing mechanisms (5 papers). Jeffrey L. McKinstry collaborates with scholars based in United States, Switzerland and Italy. Jeffrey L. McKinstry's co-authors include Dharmendra S. Modha, Carmelo di Nolfo, Myron Flickner, Brian Taba, David Van Den Berg, Alexander Andreopoulos, Arnon Amir, Rathinakumar Appuswamy, Steven K. Esser and Gerald M. Edelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Jeffrey L. McKinstry

17 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Low Power, Fully Event-Based Gesture Recognition System

2017 559 citations Arnon Amir, Brian Taba et al. profile →
Convolutional networks for fast, energy-efficient neuromorphic computing

2016 482 citations Steven K. Esser, Paul Merolla et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeffrey L. McKinstry United States	10	924	530	450	231	209	17	1.2k
Yuhuang Hu Switzerland	8	855 0.9×	517 1.0×	288 0.6×	175 0.8×	170 0.8×	16	1.1k
Alexander Andreopoulos United States	13	1.1k 1.1×	524 1.0×	536 1.2×	216 0.9×	601 2.9×	17	1.8k
Michael DeBole United States	10	628 0.7×	280 0.5×	245 0.5×	92 0.4×	180 0.9×	21	808
Federico Corradi Netherlands	20	1.4k 1.5×	678 1.3×	471 1.0×	550 2.4×	233 1.1×	56	1.8k
Deepak Khosla United States	12	602 0.7×	997 1.9×	239 0.5×	157 0.7×	181 0.9×	54	1.5k
Saeed Reza Kheradpisheh Iran	12	1.4k 1.5×	1.0k 1.9×	673 1.5×	345 1.5×	129 0.6×	27	1.8k
Hesham Mostafa Switzerland	12	1.8k 2.0×	1.1k 2.0×	780 1.7×	517 2.2×	221 1.1×	27	2.1k
Pallab Datta United States	6	1.7k 1.8×	677 1.3×	698 1.6×	471 2.0×	177 0.8×	6	1.9k
Carmelo di Nolfo United States	8	2.6k 2.8×	673 1.3×	844 1.9×	744 3.2×	232 1.1×	10	2.9k
Abhronil Sengupta United States	27	1.8k 1.9×	362 0.7×	739 1.6×	296 1.3×	163 0.8×	79	2.2k

Countries citing papers authored by Jeffrey L. McKinstry

Since Specialization

Citations

This map shows the geographic impact of Jeffrey L. McKinstry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jeffrey L. McKinstry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey L. McKinstry more than expected).

Fields of papers citing papers by Jeffrey L. McKinstry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey L. McKinstry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jeffrey L. McKinstry. The network helps show where Jeffrey L. McKinstry may publish in the future.

Co-authorship network of co-authors of Jeffrey L. McKinstry

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. McKinstry. A scholar is included among the top collaborators of Jeffrey L. McKinstry based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeffrey L. McKinstry. Jeffrey L. McKinstry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Esser, Steven K., Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, & Dharmendra S. Modha. (2020). LEARNED STEP SIZE QUANTIZATION. International Conference on Learning Representations. 38 indexed citations

McKinstry, Jeffrey L., Steven K. Esser, Rathinakumar Appuswamy, et al.. (2019). Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference. 6–9. 21 indexed citations

Amir, Arnon, Brian Taba, David Van Den Berg, et al.. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7388–7397. 559 indexed citations breakdown →

Miconi, Thomas, Jeffrey L. McKinstry, & Gerald M. Edelman. (2016). Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex. Nature Communications. 7(1). 13208–13208. 16 indexed citations

Esser, Steven K., Paul Merolla, John V. Arthur, et al.. (2016). Convolutional networks for fast, energy-efficient neuromorphic computing. Proceedings of the National Academy of Sciences. 113(41). 11441–11446. 482 indexed citations breakdown →

McKinstry, Jeffrey L., Jason Fleischer, Yanqing Chen, W. Einar Gall, & Gerald M. Edelman. (2016). Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task. PLoS ONE. 11(9). e0162155–e0162155. 6 indexed citations

Chen, Yanqing, Jeffrey L. McKinstry, & Gerald M. Edelman. (2013). Versatile networks of simulated spiking neurons displaying winner-take-all behavior. Frontiers in Computational Neuroscience. 7. 16–16. 14 indexed citations

McKinstry, Jeffrey L. & Gerald M. Edelman. (2013). Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device. Frontiers in Neurorobotics. 7. 10–10. 9 indexed citations

Choe, Yoonsuck, Louise C. Abbott, Giovanna Ponte, et al.. (2010). Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope. BMC Neuroscience. 11(S1). 6 indexed citations

10.

McKinstry, Jeffrey L., Anil K. Seth, Gerald M. Edelman, & Jeffrey L. Krichmar. (2008). Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices. Neural Networks. 21(4). 553–561. 11 indexed citations

11.

McKinstry, Jeffrey L., et al.. (2007). Testing for Machine Consciousness Using Insight Learning.. National Conference on Artificial Intelligence. 103–108. 2 indexed citations

12.

McKinstry, Jeffrey L., Gerald M. Edelman, & Jeffrey L. Krichmar. (2006). A cerebellar model for predictive motor control tested in a brain-based device. Proceedings of the National Academy of Sciences. 103(9). 3387–3392. 40 indexed citations

13.

Seth, Anil K., Jeffrey L. McKinstry, G M Edelman, & Jeffrey L. Krichmar. (2004). Active Sensing of Visual and Tactile Stimuli by Brain-based Devices. International Journal of Robotics and Automation. 19(4). 15 indexed citations

14.

Seth, Anil K., Jeffrey L. McKinstry, Gerald M. Edelman, & Jeffrey L. Krichmar. (2004). Texture discrimination by an autonomous mobile brain-based device with whiskers. 68. 4925–4930 Vol.5. 17 indexed citations

15.

McKinstry, Jeffrey L. & Clark C. Guest. (2002). Self-organizing map develops V1 organization given biologically realistic input. Proceedings of International Conference on Neural Networks (ICNN'97). 1. 338–343. 2 indexed citations

16.

McKinstry, Jeffrey L. & Clark C. Guest. (2002). Long range connections in primary visual cortex: a large scale model applied to edge detection in gray-scale images. 2. 843–847. 2 indexed citations

17.

McKinstry, Jeffrey L. & Clark C. Guest. (1999). A model of primary visual cortex: from single cells to feature maps. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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